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Shift-Invariant Sparse Coding for Audio Classification
https://www.researchgate.net/publication/250142531_Shift-Invariant_Sparse_Coding_for_Audio_Classification#:~:text=Grosse%20presented%20an%20efficient%20algorithm%20for%20learning%20bases,of%20the%20basis%20functions%20in%20all%20possible%20shifts.
Shift-Invariant Sparse Coding for Audio Classification
https://www.cs.toronto.edu/~rgrosse/uai07-sisc.pdf
Shift-invariant sparse coding (SISC) is an ex-tension of sparse coding which reconstructs a (usually time-series) input using all of the basis functions in all possible shifts. In this paper, we present an efficient algorithm for learning SISC bases. Our method is based on iteratively solving two large convex optimiza-
Shift-Invariance Sparse Coding for Audio Classification
https://arxiv.org/abs/1206.5241
Title:Shift-Invariance Sparse Coding for Audio Classification. Authors:Roger Grosse, Rajat Raina, Helen Kwong, Andrew Y. Ng. Download PDF. Abstract:Sparse coding is an unsupervised learning algorithm that learns a succincthigh-level representation of the inputs given only unlabeled data; itrepresents each input as a sparse linear combination of a set of …
Shift-invariant sparse coding for audio classification ...
https://dl.acm.org/doi/10.5555/3020488.3020507
Shift-invariant sparse coding for audio classification Pages 149–158 ABSTRACT References Index Terms Comments ABSTRACT Sparse coding is an unsupervised learning algorithm that learns a succinct high-level representation of the inputs given only unlabeled data; it represents each input as a sparse linear combination of a set of basis functions.
Shift-Invariance Sparse Coding for Audio Classification
https://arxiv.org/abs/1206.5241v1
Sparse coding is an unsupervised learning algorithm that learns a succinct high-level representation of the inputs given only unlabeled data; it represents each input as a sparse linear combination of a set of basis functions. Originally applied to modeling the human visual cortex, sparse coding has also been shown to be useful for self-taught learning, in which the …
Shift-Invariance Sparse Coding for Audio Classification
https://www.semanticscholar.org/paper/Shift-Invariance-Sparse-Coding-for-Audio-Grosse-Raina/1b3aa3082e2f4c5037197e5949cb0be295f7cdde
Shift-invariant sparse coding (SISC) is an extension of sparse coding which reconstructs a (usually time-series) input using all of the basis functions in all possible shifts. In this paper, we present an efficient algorithm for learning SISC bases.
Shift-Invariance Sparse Coding for Audio Classification ...
https://deepai.org/publication/shift-invariance-sparse-coding-for-audio-classification
Shift-Invariance Sparse Coding for Audio Classification. Sparse coding is an unsupervised learning algorithm that learns a succinct high-level representation of the inputs given only unlabeled data; it represents each input as a …
Shift-Invariant Sparse Coding for Audio Classification
https://www.researchgate.net/publication/250142531_Shift-Invariant_Sparse_Coding_for_Audio_Classification
Grosse [11] presented an efficient algorithm for learning bases of shift-invariant sparse coding (SISC) for audio classification, which is an extension of sparse coding that reconstructs a...
GROSSE ET AL. 149 Shift-Invariant Sparse Coding for …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.330.4982
Shift-invariant sparse coding (SISC) is an extension of sparse coding which reconstructs a (usually time-series) input using all of the basis functions in all possible shifts. In this paper, we present an efficient algorithm for learning SISC bases.
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